Abstract 11576: Factors Associated With Coronary Artery Disease Progression Assessed by Serial Coronary Computed Tomography Angiography
Introduction: Computed tomography coronary angiography (CCTA) allows for non-invasive coronary artery disease (CAD) phenotyping. Factors related to CAD progression are epidemiologically valuable.
Objective: Identify factors associated with CAD progression in patients who underwent sequential CCTA testing.
Methods: This is a retrospective study comprising a database of 5055 CCTA exams performed between May-2003 and Mar-2013 using 64 and 256-slice scanners, in which 382 individuals had sequential CCTA testing. Those with surgical revascularization or submitted to a percutaneous coronary intervention (PCI) between studies were excluded due to limitations in native vessel analysis and progression quantification, respectively. CAD progression was defined as any increase in the previously established segment stenosis score (calculated using the number of diseased segments and stenosis severity) in all coronary segments without stents (reestenosis was excluded from analysis). All studies were analyzed by a reader with more than 8 years experience in CCTA. Conditional logistic regression was used to assess variables associated with CAD progression.
Results: Patient population is described in table 1. A total of 77 patients had CAD progression. In a model accounting for major CAD risk factors and other baseline characteristics, only age, sex, inter-study interval and past PCI showed an independent relationship with CAD progression (table 2).
Conclusion: We found that a history of PCI with stent placement is independently associated with 5 times increase in the odds of CAD progression. Age, sex and inter-study interval were also independent predictors of progression.
- © 2013 by American Heart Association, Inc.